Noometry

Model comparison

Claude 3 Haiku vs GLM-4.7

GLM-4.7 is the stronger model overall, scoring 42.0 to 25.9 on the Noometry Index.

Last verified . 21 shared benchmarks.

Claude 3 Haiku Anthropic

25.9

Rank #340 Confirmed

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Claude 3 Haiku scores higher in 0 categories and GLM-4.7 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-4.7 leads 60.9 to 29.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.8% for Claude 3 Haiku and 83.3% for GLM-4.7.
  • GLM-4.7 has downloadable open weights; the other is API-only.

Side by side

Claude 3 HaikuGLM-4.7
ProviderAnthropicZ.ai (Zhipu)
Noometry Index25.942.0
Released2024-03-072025-12-22
WeightsProprietaryOpen
Context window—205K
Max output—131K
Input $ / M tokens—$0.60
Output $ / M tokens—$2.20
Results tracked3736

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GLM-4.7 leads

Claude 3 Haiku: 26.4 (#325), GLM-4.7: 44.0 (#79)

BenchmarkClaude 3 HaikuGLM-4.7
LMArena Coding11991454
LMArena WebDev—1435
SciCode—45.1%
WeirdML9.8%—
BigCodeBench Instruct39.4%—
BigCodeBench Complete50.1%—
CadEval12%—
ALE-Bench—399.48
HumanEval+68.9%—
MBPP+68.8%—

Agentic & Tool Use Not comparable

Claude 3 Haiku: —, GLM-4.7: 26.5 (#103)

BenchmarkClaude 3 HaikuGLM-4.7
Terminal-Bench—33.4%
Vending-Bench 2—2,377

Reasoning GLM-4.7 leads

Claude 3 Haiku: 16.3 (#307), GLM-4.7: 24.3 (#164)

BenchmarkClaude 3 HaikuGLM-4.7
LMArena Hard Prompts11741443
Epoch Capabilities Index118.35143.51
SimpleBench—47.7%
Kagi LLM Benchmark34.2%—
CritPt—1.7%
Chess Puzzles—6%
DTBench50.1%—
LMCA8.8%—
ForecastBench53.2—
WinoGrande74.2%—

Math GLM-4.7 leads

Claude 3 Haiku: 9.8 (#319), GLM-4.7: 38.6 (#135)

BenchmarkClaude 3 HaikuGLM-4.7
OTIS Mock AIME 2024-20251.8%83.3%
LMArena Math11881423
ProofBench—6%
MATH Level 514.9%—
FrontierMath (Feb 2025 set)—2.4%
FrontierMath Tier 4 (v1)—0%

Knowledge GLM-4.7 leads

Claude 3 Haiku: 17.3 (#285), GLM-4.7: 47.0 (#80)

BenchmarkClaude 3 HaikuGLM-4.7
GPQA Diamond36.3%83.3%
LMArena Expert11481424
SimpleQA Verified—32.2%
Confabulations34.2%—
Vectara Hallucination Rate—11.7%
MMLU73.8%—

Multimodal Not comparable

Claude 3 Haiku: 23.6 (#128), GLM-4.7: —

BenchmarkClaude 3 HaikuGLM-4.7
LMArena Vision950—
ScienceQA72%—

Multilingual GLM-4.7 leads

Claude 3 Haiku: 36.0 (#243), GLM-4.7: 52.8 (#79)

BenchmarkClaude 3 HaikuGLM-4.7
LMArena Non-English11781417
LMArena Chinese11551495
LMArena French11951432
LMArena German11741424
LMArena Japanese11021439
LMArena Korean11091399
LMArena Russian12041423
LMArena Spanish11661434

Instruction Following GLM-4.7 leads

Claude 3 Haiku: 61.3 (#247), GLM-4.7: 74.4 (#95)

BenchmarkClaude 3 HaikuGLM-4.7
LMArena Instruction Following11731411

Long Context GLM-4.7 leads

Claude 3 Haiku: 36.1 (#237), GLM-4.7: 42.8 (#116)

BenchmarkClaude 3 HaikuGLM-4.7
LMArena Longer Query11901432
CL-bench—15.9%
CL-bench Life—10.9%

Writing & Preference GLM-4.7 leads

Claude 3 Haiku: 29.7 (#291), GLM-4.7: 60.9 (#93)

BenchmarkClaude 3 HaikuGLM-4.7
LMArena Text11951435
LMArena Creative Writing11571401
EQ-Bench Creative Writing7171413
LMArena Multi-Turn11901446

Frequently asked questions

Is Claude 3 Haiku better than GLM-4.7?

GLM-4.7 is the stronger model overall, scoring 42.0 to 25.9 on the Noometry Index.

Is Claude 3 Haiku or GLM-4.7 better for coding?

GLM-4.7 scores higher on coding benchmarks: 44.0 versus 26.4 in the Noometry coding category.

How many benchmarks do Claude 3 Haiku and GLM-4.7 share?

21 benchmarks have published results for both models. Claude 3 Haiku has 37 scored results on Noometry and GLM-4.7 has 36.

Related comparisons

Go deeper